social-measurement-loop
social-measurement-loop is a Marketing analytics & attribution skill for AI agents, published by aaron-he-zhu in the aaron-marketing-skills repository on GitHub. Skillspace rates social-measurement-loop B (84/100) and it passed the safety scan; a judge model has also reviewed it.
Use when the user asks to "run the weekly social readout", "which denominator does our engagement rate use", or "which posts won this week and what changes next cycle"; produces the organic-social metric dictionary (every rate names its denominator — ERR engagement-by-reach vs ERI by-impressions vs ER-by-follower — locked across periods), median-not-mean per-post rollups with organic and boosted separated, EMV as labeled exec-translation only (never inside any score), an attributed CHAOSS/Orbit-style community-health readout with employees excluded, and the best/worst-performer write-back the next calendar cycle consumes. Not for dollar-ROI math or the ECHO profile result gate verdict — use roi-calculator and social-quality-auditor. 社媒周报/互动率分母/指标字典/复盘回写
- Grade
- B
- Quality
- 84 / 100
- Safety
- Passed
- GitHub stars
- 2,393
Placed #2 of 6 in the judged category final for Marketing analytics & attribution.
Not launch-quality. It is graded B with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Repo-internal: written for the repository it lives in. Feeds this repo's own ECHO framework/echo-benchmark.md file
Judge review
Placed #2 of 6 in the judged category final for Marketing analytics & attribution.
- Trigger
88 88 - Instructions
86 86 - Specificity
90 90 - Safety
90 90 - Disclosure
85 85 - Maintenance
86 86
Forces every engagement rate to name its denominator and bans EMV from any score, real measurement discipline, though it leans on several unlisted sibling skills to reach a verdict.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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